โ† Back to Model Hub/SIDE-BY-SIDE REVIEW
SHARE THIS:

Gemini 3.5 Flash vs Qwen3.5-122B-A10B

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Gemini 3.5 Flash and Qwen3.5-122B-A10B.

Google

Gemini 3.5 Flash

Gemini 3.5 Flash is Google's high-efficiency multimodal model, bringing near-Pro level coding and reasoning at Flash-tier cost and speed. It is highly optimized for coding proficiency and parallel agentic execution...

View Full Specs
Alibaba

Qwen3.5-122B-A10B

The Qwen3.5 122B-A10B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. In terms of...

View Full Specs

Technical Specifications

SpecificationGemini 3.5 FlashQwen3.5-122B-A10B
ProviderGoogleAlibaba
Context Window1,048,576 tokens262,144 tokens
Agent Suitability88/100N/A
Time to First Token (TTFT)200 msN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-05-192026-02-25

API Pricing Comparison

Input Price per Million Tokens

Gemini 3.5 Flash

$1.50

Qwen3.5-122B-A10B

$0.26

Output Price per Million Tokens

Gemini 3.5 Flash

$9.00

Qwen3.5-122B-A10B

$2.08

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

MMLUGeneral knowledge & multi-task understanding
9050.0%vsN/A
Gemini 3.5 Flash
Qwen3.5-122B-A10B
HumanEvalPython coding & logic synthesis
9210.0%vsN/A
Gemini 3.5 Flash
Qwen3.5-122B-A10B
MATHComplex mathematical problem solving
8500.0%vsN/A
Gemini 3.5 Flash
Qwen3.5-122B-A10B
GPQAGraduate-level expert reasoning
6820.0%vsN/A
Gemini 3.5 Flash
Qwen3.5-122B-A10B
HellaSwagCommonsense reasoning and inference
9780.0%vsN/A
Gemini 3.5 Flash
Qwen3.5-122B-A10B
MT-BenchMulti-turn conversation flow quality
920.0%vsN/A
Gemini 3.5 Flash
Qwen3.5-122B-A10B

Gemini 3.5 Flash Quirks & Gotchas

  • โ–ธExcellent multimodal performance โ€” native video understanding
  • โ–ธTool calling via Google's native function_declarations in Vertex AI

Qwen3.5-122B-A10B Quirks & Gotchas

No developer gotchas reported.